ForstmannB. U.WagenmakersE. J. (Eds.). (2015). An introduction to model-based cognitive neuroscience (pp. 139–156).
New York, NY:
Springer.
2.
GelmanA.CarlinJ. B.SternH. S.DunsonD. B.VehtariA.RubinD. B. (2013). Bayesian data analysis.
Boca Raton, FL:
Chapman and Hall/CRC.
3.
LeCunY.BengioY.HintonG. (2015).
Deep learning. Nature,
521, 436–444.
4.
McClellandJ. L.RumelhartD. E, & PDP Research Group. (1987). Parallel distributed processing (
Vol. 2).
Cambridge, MA:
MIT Press.
5.
Open Science Collaboration. (2015).
Estimating the reproducibility of psychological science. Science,
349, aac4716.
6.
R Core Team. (2013). R: A language and environment for statistical computing.
Vienna, Austria:
R Foundation for Statistical Computing.
7.
RatcliffR.SmithP. L. (2004).
A comparison of sequential sampling models for two-choice reaction time. Psychological Review,
111, 333.
8.
RichardsB. A.LillicrapT. P.BeaudoinP.BengioY.BogaczR.ChristensenA., … GillonC. J. (2019).
A deep learning framework for neuroscience. Nature Neuroscience,
22, 1761–1770.
9.
SuttonR. S.BartoA. G. (1998). Introduction to reinforcement learning (
Vol. 2, No. 4).
Cambridge, MA:
MIT Press.